Tart stands for "The Automatic Random Tagline", a versatile, fast and feature-rich email signature generator. Tart features include random taglines, optional daemon functionality, display of current date, custom layout of signature, and "special date" tagline text. The command line syntax is simple and well explained. Linux tart is designed to be run as a stand-alone daemon, from crontab, or in your login script.
neko-install-cd is a development tool for modifying System Rescue CD images. It can also perform many other operations. It has a simple interface with excellent inline help. Operations it can perform include: booting your modified image in a virtual machine, burning the original or modified image to a USB drive, creating patch sets from your modifications (using aufs or built-in helper scripts). All of these operations can be performed directly from your Linux distribution, without having to first boot into the system rescue CD as with the system rescue CD equivalents.
Deva is a programming language that is small, dynamic, and has some similarities to C and Python. It is designed for embedding in C++ applications, and is also suitable for basic programming tasks. It is written to be as simple as possible, but no simpler. Deva is a multi-paradigm language: it is essentially procedural and imperative, but with support for basic functional and object-oriented idioms.
The X Binary Package System (in short XBPS) is a binary package system designed and implemented from scratch. Its goal is to be fast, easy to use, bug-free, featureful, and portable as much as possible. There is a well documented API provided by the XBPS Library that is the basis for its frontends, to handle binary packages and repositories.
ACOPOST is a set of freely available POS taggers modeled after well-known techniques. The programs are written in C (aiming for extreme portability and code correctness/safety) and run under various Unix flavors (and probably even under Windows). ACOPOST currently consists of four taggers that are based on different frameworks: Maximum Entropy Tagger (MET), Trigram Tagger (T3, based on Hidden Markov Models), Error-driven Transformation-based Tagger (TBT or Brill Tagger), and Example-based tagger (ET).